RAGEmini

play on RAGE + gemini as MVP MVP to connect with ollama recognizing ollama from localhost if running
MMP to connect with gemini API including experimental from toggle

RAGE folder contains the as yet to be implented Retrieval Augmented Generative Engine
functions as a basic UI for chat response from localhost ollama model or Gemini
with memory.py and logger.py

RAGEmini/
├── src/
│   ├── memory.py
│   ├── logger.py
│   ├── openmind.py
│   └── locallama.py
├── gfx/
│   └── styles.css
├── memory/
│   ├── sessions/
│   ├── knowledge/
│   └── long_term_memory.json
└── rage.py

RAGE + GEMINI == RAGEmini

Retrieval Augmented Generative Engine

RAGE Retrieval Augmented Generative Engine is a dynamic engine designed to learn from context, injest and memory over time.

Context-Aware Responses:

By leveraging the continuously updated data and learning from past interactions, RAGE can understand and respond to nuances in user queries. This ability makes it particularly effective in scenarios where context heavily influences the nature of the response.

Adaptive Response Generation:

As RAGE evolves, it becomes more adept at predicting user needs and adjusting its responses accordingly, ensuring high relevance and personalization
perform manual install or INSTALL not both

manual install

git clone https://github.com/GATERAGE/DeepSeekRAGE

python3.11 -m venv rage

source rage/bin/activate

pip install --no-cache-dir -r requirements.txt

streamlit run rage.py

INSTALL

source install.sh

streamlit run rage.py